The MYC-MAF-SAGA axis drives oncogenic gene expression in multiple myeloma.

The SAGA complex is an evolutionarily conserved histone acetyltransferase complex and transcription coactivator essential for development and disease. Dysregulation of SAGA is implicated in various human diseases, including cancer. In this issue of Genes & Development, Chen et al. (doi:10.1101/gad.351789.124) uncover a critical role for SAGA in multiple myeloma wherein SAGA's ADA2B component is required for the expression of mTORC1 pathway genes and targets of the MYC, E2F, and MAF (musculoaponeurotic fibrosarcoma) transcription factors. SAGA cooperates with MYC and MAF to sustain oncogenic gene expression programs vital for multiple myeloma survival and thus may serve as a therapeutic target for future cancer therapies.

HEI10 is subject to phase separation and mediates RPA1a degradation during meiotic interference-sensitive crossover formation.

Reciprocal exchanges of DNA between homologous chromosomes during meiosis, or crossovers (COs), shuffle genetic information in gametes and progeny. In many eukaryotes, the majority of COs (class I COs) are sensitive to a phenomenon called interference, which influences the occurrence of closely spaced double COs. Class I COs depend on a group of factors called ZMM (Zip, Msh, Mer) proteins including HEI10 (Human Enhancer of Invasion-10). However, how these proteins are recruited to class I CO sites is unclear. Here, we show that HEI10 forms foci on chromatin via a liquid-liquid phase separation (LLPS) mechanism that relies on residue Ser70. A HEI10S70F allele results in LLPS failure and a defect in class I CO formation. We further used immunoprecipitation-mass spectrometry to identify RPA1a (Replication Protein A 1) as a HEI10 interacting protein. Surprisingly, we find that RPA1a also undergoes phase separation and its ubiquitination and degradation are directly regulated by HEI10. We also show that HEI10 is required for the condensation of other class I CO factors. Thus, our results provide mechanistic insight into how meiotic class I CO formation is controlled by HEI10 coupling LLPS and ubiquitination.

Histone demethylase IBM1-mediated meiocyte gene expression ensures meiotic chromosome synapsis and recombination.

Histone methylation and demethylation play important roles in plant growth and development, but the involvement of histone demethylation during meiosis is poorly understood. Here we show that disruption of Arabidopsis thaliana INCREASE IN BONSAI METHYLATION 1 (IBM1) causes incomplete synapsis, chromosome entanglement and reduction of recombination during meiosis, leading to sterility. Interestingly, these ibm1 meiotic defects are rescued by mutations in either SUVH4/KYP or CMT3. Using transcriptomic analyses we show that mutation of IBM1 down-regulates thousands of genes expressed in meiocytes, and that expression of about 38% of these genes are restored to wild type levels in ibm1 cmt3 double mutants. Changes in the expression of 437 of these, including the ARABIDOPSIS MEI2-LIKE AML3-5 genes, are correlated with a significant reduction of gene body CHG methylation. Consistently, the aml3 aml4 aml5 triple have defects in synapsis and chromosome entanglement similar to ibm1. Genetic analysis shows that aml3 aml4 aml5 ibm1 quadruple mutants resembles the ibm1 single mutant. Strikingly, over expression of AML5 in ibm1 can partially rescue the ibm1 meiotic defects. Taken together, our results demonstrate that histone demethylase IBM1 is required for meiosis likely via coordinated regulation of meiocyte gene expression during meiosis.

The cohesin loader SCC2 contains a PHD finger that is required for meiosis in land plants.

Cohesin, a multisubunit protein complex, is required for holding sister chromatids together during mitosis and meiosis. The recruitment of cohesin by the sister chromatid cohesion 2/4 (SCC2/4) complex has been extensively studied in Saccharomyces cerevisiae mitosis, but its role in mitosis and meiosis remains poorly understood in multicellular organisms, because complete loss-of-function of either gene causes embryonic lethality. Here, we identified a weak allele of Atscc2 (Atscc2-5) that has only minor defects in vegetative development but exhibits a significant reduction in fertility. Cytological analyses of Atscc2-5 reveal multiple meiotic phenotypes including defects in chromosomal axis formation, meiosis-specific cohesin loading, homolog pairing and synapsis, and AtSPO11-1-dependent double strand break repair. Surprisingly, even though AtSCC2 interacts with AtSCC4 in vitro and in vivo, meiosis-specific knockdown of AtSCC4 expression does not cause any meiotic defect, suggesting that the SCC2-SCC4 complex has divergent roles in mitosis and meiosis. SCC2 homologs from land plants have a unique plant homeodomain (PHD) motif not found in other species. We show that the AtSCC2 PHD domain can bind to the N terminus of histones and is required for meiosis but not mitosis. Taken together, our results provide evidence that unlike SCC2 in other organisms, SCC2 requires a functional PHD domain during meiosis in land plants.

Comparative transcriptomic analysis of thermally stressed Arabidopsis thaliana meiotic recombination mutants.

BACKGROUND: Meiosis is a specialized cell division that underpins sexual reproduction in most eukaryotes. During meiosis, interhomolog meiotic recombination facilitates accurate chromosome segregation and generates genetic diversity by shuffling parental alleles in the gametes. The frequency of meiotic recombination in Arabidopsis has a U-shaped curve in response to environmental temperature, and is dependent on the Type I, crossover (CO) interference-sensitive pathway. The mechanisms that modulate recombination frequency in response to temperature are not yet known. RESULTS: In this study, we compare the transcriptomes of thermally-stressed meiotic-stage anthers from msh4 and mus81 mutants that mediate the Type I and Type II meiotic recombination pathways, respectively. We show that heat stress reduces the number of expressed genes regardless of genotype. In addition, msh4 mutants have a distinct gene expression pattern compared to mus81 and wild type controls. Interestingly, ASY1, which encodes a HORMA domain protein that is a component of meiotic chromosome axes, is up-regulated in wild type and mus81 but not in msh4. In addition, SDS the meiosis-specific cyclin-like gene, DMC1 the meiosis-specific recombinase, SYN1/REC8 the meiosis-specific cohesion complex component, and SWI1 which functions in meiotic sister chromatid cohesion are up-regulated in all three genotypes. We also characterize 51 novel, previously unannotated transcripts, and show that their promoter regions are associated with A-rich meiotic recombination hotspot motifs. CONCLUSIONS: Our transcriptomic analysis of msh4 and mus81 mutants enhances our understanding of how the Type I and Type II meiotic CO pathway respond to environmental temperature stress and might provide a strategy to manipulate recombination levels in plants.

Elevated temperature increases meiotic crossover frequency via the interfering (Type I) pathway in Arabidopsis thaliana.

For most eukaryotes, sexual reproduction is a fundamental process that requires meiosis. In turn, meiosis typically depends on a reciprocal exchange of DNA between each pair of homologous chromosomes, known as a crossover (CO), to ensure proper chromosome segregation. The frequency and distribution of COs are regulated by intrinsic and extrinsic environmental factors, but much more is known about the molecular mechanisms governing the former compared to the latter. Here we show that elevated temperature induces meiotic hyper-recombination in Arabidopsis thaliana and we use genetic analysis with mutants in different recombination pathways to demonstrate that the extra COs are derived from the major Type I interference sensitive pathway. We also show that heat-induced COs are not the result of an increase in DNA double-strand breaks and that the hyper-recombinant phenotype is likely specific to thermal stress rather than a more generalized stress response. Taken together, these findings provide initial mechanistic insight into how environmental cues modulate plant meiotic recombination and may also offer practical applications.

The Largest Subunit of DNA Polymerase Delta Is Required for Normal Formation of Meiotic Type I Crossovers.

Meiotic recombination contributes to the maintenance of the association between homologous chromosomes (homologs) and ensures the accurate segregation of homologs during anaphase I, thus facilitating the redistribution of alleles among progeny. Meiotic recombination is initiated by the programmed formation of DNA double strand breaks, the repair of which requires DNA synthesis, but the role of DNA synthesis proteins during meiosis is largely unknown. Here, we hypothesized that the lagging strand-specific DNA Polymerase δ (POL δ) might be required for meiotic recombination, based on a previous analysis of DNA Replication Factor1 that suggested a role for lagging strand synthesis in meiotic recombination. In Arabidopsis (Arabidopsis thaliana), complete mutation of the catalytic subunit of POL δ, encoded by AtPOLD1, leads to embryo lethality. Therefore, we used a meiocyte-specific knockdown strategy to test this hypothesis. Reduced expression of AtPOLD1 in meiocytes caused decreased fertility and meiotic defects, including incomplete synapsis, the formation of multivalents, chromosome fragmentation, and improper segregation. Analysis of meiotic crossover (CO) frequencies showed that AtPOLD1RNAi plants had significantly fewer interference-sensitive COs than the wild type, indicating that AtPOL δ participates in type I CO formation. AtPOLD1RNAi atpol2a double mutant meiocytes displayed more severe meiotic phenotypes than those of either single mutant, suggesting that the function of AtPOLD1 and AtPOL2A is not identical in meiotic recombination. Given that POL δ is highly conserved among eukaryotes, we hypothesize that the described role of POL δ here in meiotic recombination likely exists widely in eukaryotes.

The PHD Finger Protein MMD1/DUET Ensures the Progression of Male Meiotic Chromosome Condensation and Directly Regulates the Expression of the Condensin Gene CAP-D3.

Chromosome condensation, a process mediated by the condensin complex, is essential for proper chromosome segregation during cell division. Unlike rapid mitotic chromosome condensation, meiotic chromosome condensation occurs over a relatively long prophase I and is unusually complex due to the coordination with chromosome axis formation and homolog interaction. The molecular mechanisms that regulate meiotic chromosome condensation progression from prophase I to metaphase I are unclear. Here, we show that the Arabidopsis thaliana meiotic PHD-finger protein MMD1/DUET is required for progressive compaction of prophase I chromosomes to metaphase I bivalents. The MMD1 PHD domain is required for its function in chromosome condensation and binds to methylated histone tails. Transcriptome analysis and qRT-PCR showed that several condensin genes exhibit significantly reduced expression in mmd1 meiocytes. Furthermore, MMD1 specifically binds to the promoter region of the condensin subunit gene CAP-D3 to enhance its expression. Moreover, cap-d3 mutants exhibit similar chromosome condensation defects, revealing an MMD1-dependent mechanism for regulating meiotic chromosome condensation, which functions in part by promoting condensin gene expression. Together, these discoveries provide strong evidence that the histone reader MMD1/DUET defines an important step for regulating the progression of meiotic prophase I chromosome condensation.

Using machine learning to predict cardiovascular risk using self-reported questionnaires: Findings from the 45 and Up Study.

BACKGROUND: Machine learning has been shown to outperform traditional statistical methods for risk prediction model development. We aimed to develop machine learning-based risk prediction models for cardiovascular mortality and hospitalisation for ischemic heart disease (IHD) using self-reported questionnaire data. METHODS: The 45 and Up Study was a retrospective population-based study in New South Wales, Australia (2005-2009). Self-reported healthcare survey data on 187,268 participants without a history of cardiovascular disease was linked to hospitalisation and mortality data. We compared different machine learning algorithms, including traditional classification methods (support vector machine (SVM), neural network, random forest and logistic regression) and survival methods (fast survival SVM, Cox regression and random survival forest). RESULTS: A total of 3687 participants experienced cardiovascular mortality and 12,841 participants had IHD-related hospitalisation over a median follow-up of 10.4 years and 11.6 years respectively. The best model for cardiovascular mortality was a Cox survival regression with L1 penalty at a re-sampled case/non-case ratio of 0.3 achieved by under-sampling of the non-cases. This model had the Uno's and Harrel's concordance indexes of 0.898 and 0.900 respectively. The best model for IHD hospitalisation was a Cox survival regression with L1 penalty at a re-sampled case/non-case ratio of 1.0 with Uno's and Harrel's concordance indexes of 0.711 and 0.718 respectively. CONCLUSION: Machine learning-based risk prediction models developed using self-reported questionnaire data had good prediction performance. These models may have the potential to be used in initial screening tests to identify high-risk individuals before undergoing costly investigation.

Comparison of Metabolic Profiling of Arabidopsis Inflorescences Between Landsberg erecta and Columbia, and Meiosis-Defective Mutants by 1H-NMR Spectroscopy.

With the rapid development of omics technologies during the last several decades, genomics, transcriptomics, and proteomics have been extensively used to characterize gene or protein functions in many organisms at the cell or tissue level. However, metabolomics has not been conducted in reproductive organs, with a focus on meiosis in plants. In this study, we adopted a nuclear magnetic resonance (NMR)-based metabolomics approach to reveal the metabolic profile of inflorescences from two Arabidopsis accessions, Columbia (Col) and Landsberg erecta (Ler), and several sterile mutants caused by meiosis defects. We identified 68 dominant metabolites in the samples. Col and Ler displayed distinct metabolite profiles. Interestingly, mutants with similar meiotic defects, such as Atrad51-3, Atrfc1-2, and Atpol2a-2, exhibited similar alterations in metabolites, including upregulation of energy metabolites and promotion of compounds related to maintenance of genomic stability, cytoplasmic homeostasis, and membrane integrity. The collective data reveal distinct changes in metabolites in Arabidopsis inflorescences between the Col and Ler wild type accessions. NMR-based metabolomics could be an effective tool for molecular phenotyping in studies of aspects of plant reproductive development such as meiosis. Supplementary Information: The online version contains supplementary material available at 10.1007/s43657-021-00012-3.

Discovery of Selective Small-Molecule Inhibitors for the ENL YEATS Domain.

Eleven-nineteen leukemia (ENL) protein is a histone acetylation reader essential for disease maintenance in acute leukemias, in particular, the mixed-lineage leukemia (MLL)-rearranged leukemia. In this study, we carried out high-throughput screening of a small-molecule library to identify inhibitors for the ENL YEATS domain. Structure-activity relationship studies of the hits and structure-based inhibitor design led to two compounds, 11 and 24, with IC50 values below 100 nM in inhibiting the ENL-acetyl-H3 interaction. Both compounds, and their precursor compound 7, displayed strong selectivity toward the ENL YEATS domain over all other human YEATS domains. Moreover, 7 exhibited on-target inhibition of ENL in cultured cells and a synergistic effect with the bromodomain and extraterminal domain inhibitor JQ1 in killing leukemia cells. Together, we have developed selective chemical probes for the ENL YEATS domain, providing the basis for further medicinal chemistry-based optimization to advance both basic and translational research of ENL.

Author Correction: Cell-type-dependent histone demethylase specificity promotes meiotic chromosome condensation in Arabidopsis.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Reassembly of the Biosynthetic Gene Cluster Enables High Epothilone Yield in Engineered Schlegelella brevitalea.

Epothilones, as a new class of microtubule-stabilizing anticancer drugs, exhibit strong bioactivity against taxane-resistant cells and show clinical activity for the treatment of advanced breast cancer. Additionally, they also show great potential for a central nervous system injury and Alzheimer's disease. However, due to the long fermentation period of the original producer and challenges of genetic engineering of nonribosomal peptide/polyketide (NRP/PK) megasynthase genes, the application of epothilones is severely limited. Here, we addressed these problems by reassembling a novel 56-kb epothilone biosynthetic gene cluster, optimizing the promoter of each gene based on RNA-seq profiling, and completing precursor synthetic pathways in engineered Schlegella brevitalea. Furthermore, we debottlenecked the cell autolysis by optimizing culture conditions. Finally, the yield of epothilones in shake flasks was improved to 82 mg/L in six-day fermentation. Overall, we not only constructed epothilone overproducers for further drug development but also provided a rational strategy for high-level NRP/PK compound production.

Cell-type-dependent histone demethylase specificity promotes meiotic chromosome condensation in Arabidopsis.

Histone demethylation is crucial for proper chromatin structure and to ensure normal development, and requires the large family of Jumonji C (JmjC)-containing demethylases; however, the molecular mechanisms that regulate the substrate specificity of these JmjC-containing demethylases remain largely unknown. Here, we show that the substrate specificity of the Arabidopsis histone demethylase JMJ16 is broadened from Lys 4 of histone H3 (H3K4) alone in somatic cells to both H3K4 and H3K9 when it binds to the meiocyte-specific histone reader MMD1. Consistent with this, the JMJ16 catalytic domain exhibits both H3K4 and H3K9 demethylation activities. Moreover, the JMJ16 C-terminal FYR domain interacts with the JMJ16 catalytic domain and probably restricts its substrate specificity. By contrast, MMD1 can compete with the N-terminal catalytic domain of JMJ16 for binding to the FYR-C domain, thereby expanding the substrate specificity of JMJ16 by preventing the FYR domain from binding to the catalytic domain. We propose that MMD1 and JMJ16 together in male meiocytes promote gene expression in an H3K9me3-dependent manner and thereby contribute to meiotic chromosome condensation.